Sanskriti J.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Top Task Types

Classification

Computer Programming/Coding

Data Collection

Entity (NER) Classification

Prompt + Response Writing (SFT)

Freelancer Overview

I am a highly detail-oriented Data Labeling Specialist with over two years of hands-on experience creating and refining high-quality training datasets for computer vision and natural language processing applications. In my most recent role, I led the annotation of more than 50,000 images—ranging from everyday objects to specialized industrial equipment—using tools like Labelbox and CVAT. I also developed comprehensive guideline documents and conducted regular QA audits, achieving and maintaining a 99% annotation accuracy rate. My work directly contributed to a 12% improvement in object-detection model precision and a 20% reduction in false positives for our flagship AI product. Beyond vision projects, I’ve designed and executed annotation workflows for NLP tasks, including named-entity recognition, sentiment analysis, and intent classification. I’m proficient with platforms such as LightTag and Prodigy, and I’ve written Python scripts to automate consistency checks, reducing manual review time by 30%. My ability to collaborate closely with data scientists and engineers, translate complex requirements into clear labeling guidelines, and adapt rapidly to new domains—whether legal, medical, or e-commerce—sets me apart as a versatile contributor to any AI training data team.

Education

Work History